Senior Technical Lead

We are seeking a Senior AI Engineer with 6-10 years of experience in artificial intelligence, machine

learning, and generative AI to lead the design and delivery of enterprise-grade AI solutions. The ideal

candidate will have deep expertise in Large Language Models (LLMs), Retrieval-Augmented Generation

(RAG), and AI agent architectures, along with experience deploying scalable AI systems in cloud-native

environments.

In this role, you will architect, build, and scale advanced AI capabilities using modern AI platforms such

as Azure OpenAI, Anthropic, and other LLM services, enabling innovation across SHS R&D digital

platforms. You will also provide technical leadership, mentorship, and architectural guidance to

engineering teams developing AI-powered products and solutions.

Key Responsibilities

AI Solution Architecture

Design and architect enterprise-grade generative AI solutions, including RAG pipelines,

knowledge retrieval systems, and agent-based AI workflows.

Define scalable AI architecture patterns for integrating LLM capabilities into internal platforms

and applications.

Lead the design of AI-driven digital solutions that align with enterprise architecture, security,

and compliance requirements.

LLM & Generative AI Engineering

Lead the development and optimization of LLM-powered applications using technologies such as

Azure OpenAI, Anthropic Claude, and other foundation models.

Architect and implement RAG pipelines, semantic search, vector databases, and knowledgegrounded

AI systems.

Design AI agent orchestration workflows for complex enterprise automation scenarios.

Platform Engineering & Scalability

Build scalable, production-grade AI systems with robust monitoring, evaluation, and

performance optimization.

Implement MLOps/LLMOps practices, including model lifecycle management, prompt

evaluation, observability, and CI/CD integration.

Optimize AI systems for latency, cost, and reliability in production environments.

Technical Leadership

Provide technical leadership and architectural direction for AI initiatives across multiple teams.

Mentor junior AI engineers and data scientists in best practices for LLM engineering, prompt

engineering, and AI system design.

Conduct technical reviews, architecture validations, and design consultations for AI initiatives.

Research & Innovation

Continuously evaluate emerging advancements in Generative AI, NLP, multi-agent systems, and

foundation models.

Drive innovation initiatives, prototypes, and proof-of-concepts to explore new AI capabilities

relevant to R&D workflows.

Identify opportunities to leverage AI for productivity, automation, and knowledge management

Technical Leadership, Technical Leadership, Artificial Intelligence (AI), Modeling Languages, Cloud Computing, Systems Scalability, Microsoft Windows Azure, Research & Development (R&D), Architectural Services, Mentoring, 6-10 years of experience in AI/ML engineering, data science, or AI platform development.

Hands-on experience with Generative AI and Large Language Models (LLMs) in production

environments.

Strong experience designing RAG architectures, vector search systems, and AI agents.

Experience building AI-powered applications and services using frameworks such as LangChain,

LlamaIndex, Semantic Kernel, or similar.

Experience deploying AI workloads in cloud environments (Azure, AWS, or GCP).

Experience designing scalable distributed systems and microservice-based architectures.

Information at a Glance

Why HCLTech?

At HCLTech, youll supercharge your potential. Youll find your career. And youll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion.